Task Force on American Innovation Hosted Webinar Briefing on Artificial Intelligence and Machine Learning:

Webinar panelists say federal investment in innovation is needed to drive progress.

Watch the entire archived webinar and access presentation slides here:

Recent years have seen rapid advancements in artificial intelligence (AI), and machine learning (ML) in particular (ML is a subfield of artificial intelligence where computers “learn” from data and act without specific programming). These breakthroughs are fueled by innovation in both ML algorithms and specialized ML hardware, and U.S. leadership in AI and ML is grounded in long-standing U.S. government investments in R&D and STEM education. However, there is growing concern that China is poised to overtake the United States in AI/ML.

This briefing will examine the state of ML research in the United States and where it is headed. We’ll provide an overview of past ML algorithmic and hardware breakthroughs and current cutting-edge research; show how those breakthroughs are being used in innovative, real world applications and products; and forecast future discoveries including computer hardware advances, multimodal ML models, human/machine teaming, and distributed AI; and investments that are needed to achieve them in the United States.

With Guest Participants:

• Rep. Jerry McNerney (D-CA09)
  • Co-Chair of the Congressional Artificial Intelligence (AI) Caucus
• Rep. Jay Obernolte (R-CA08)
• Rep. Bill Foster (D-IL11)